Berger will be awarded the John von Neumann Prize and deliver the associated lecture at SIAM/CAIMS Annual Meetings 2025 (AN25 ...

Our curriculum retains classical mathematical approaches while incorporating data-driven and computational techniques. In this way, we are training scientists to solve the biggest problems in the ...

As the risk of natural disasters grows, high-performance computing stands as a frontline defense, transforming raw data into ...

Digital and Computational ... Examples of Programming Courses (often also include critical digital studies, often in an applied context) DCS 103 People, Places, Prose, and Programming (R) DCS 108 ...

Large language models (LLMs) have evolved significantly. What started as simple text generation and translation tools are now being used in research, decision-making, and complex problem-solving. A ...

Steve Hsu, founder of AI startup SuperFocus, shares the three reasons he plans to switch to DeepSeek from closed-source ...

Hypothetical devices that can quickly and accurately answer questions have become a powerful tool in computational complexity theory.

Paul Gigot interviews Journal columnist Holman Jenkins.

The dual degree program in Mathematics and Industrial Engineering at Gallaudet University and Rochester Institute of ...

program offers a B.S. in Computational & Applied Mathematics and Statistics. It is an inter-disciplinary program drawing from the expertise of faculty in Applied Science, Biology, Economics, and ...

A technique called “test-time compute” can improve how AI responds to some hard questions, but it comes at a cost ...